摘要
本文利用GRACE/GRACE-FO与GLDAS数据反演河湟谷地地区2019—2022年地下水变化情况,利用SBAS-InSAR技术获得该区域同时段的地表沉降速率,结合降水数据研究河湟谷地地区地表沉降与地下水变化的相关关系。结果表明:①河湟谷地整体地下水流失方向是从西北向东南;②地下水变化对地表形变越严重的区域影响更大;③地表形变(抬升)越大,地下水储量流失越多,黄河上游抬升最大,其地下水储量流失最多;④河湟谷地北部地表形变对地下水储量变化不敏感,南部区域地表形变对地下水储量变化更敏感。本文为当地地质灾害预警、水资源可持续利用、生态保护及高质量绿色发展提供了重要的科学参考。
GRACE/GRACE-FO and GLDAS data are used to invert the groundwater changes in 2019—2022 in Huangshuang Valley area.And SBAS-InSAR technology is used to obtain the simultaneous rate of surface subsidence in the region,which is combined with the precipitation data to study the correlation between surface subsidence and groundwater changes in Huangshuang Valley area.The results show that:①The overall direction of groundwater loss in Huangshui Valley is from northwest to southeast.②Groundwater changes have a greater impact on the more serious surface deformation in the region.③The greater the surface deformation(uplift),the more groundwater reserves are lost.The upper reaches of the Yellow River have the greatest uplift,and the loss of groundwater reserves is the greatest.④The surface deformation in the northern part of the Huanghe Valley is not sensitive to changes in groundwater reserves,while the surface deformation in the southern part is more sensitive to changes in groundwater reserves.The conclusions of this paper can provide important scientific reference for local geological disaster warning,sustainable utilization of water resources,ecological protection and high-quality green development.
作者
胡祥祥
柯福阳
石亚亚
吴涛
刘宝康
庞栋栋
张利利
宋宝
HU Xiangxiang;KE Fuyang;SHI Yaya;WU Tao;LIU Baokang;PANG Dongdong;ZHANG Lili;SONG Bao(School of Resource and Environmental Engineering,Tianshui Normal University,Tianshui 741001,China;Gansu Zhenghao Satellite Remote Sensing Science and Technology Center,Tianshui 741001,China;Wuxi Research Institute of Nanjing University of Information Engineering,Wuxi 214000,China;Northwest Institute of Eco-Environment and Resources,CA,Lanzhou 730000,China;Organization Department of CPC Tonggu County Committee,Yichun 336200,China;School of Automation,Beijing Institute of Technology,Beijing 100081,China)
出处
《测绘通报》
CSCD
北大核心
2024年第6期46-52,共7页
Bulletin of Surveying and Mapping
基金
国家自然科学基金(42361020)
甘肃省科技厅青年科技基金(23JRRE727)
中国科学院冻土工程国家重点实验室开放基金(SKLFSE202014)。
